Understanding Factors Influencing Generative AI Use Intention: A Bayesian Network-Based Probabilistic Structural Equation Model Approach

Electronics, Год журнала: 2025, Номер 14(3), С. 530 - 530

Опубликована: Янв. 28, 2025

This study investigates the factors influencing users’ intention to use generative AI by employing a Bayesian network-based probabilistic structural equation model approach. Recognizing limitations of traditional models like technology acceptance and unified theory technology, this research incorporates novel constructs such as perceived anthropomorphism animacy capture unique human-like qualities AI. Data were collected from 803 participants with prior experience using applications. The analysis reveals that social influence (standardized total effect = 0.550) is most significant predictor intention, followed effort expectancy (0.480) usefulness (0.454). Perceived (0.149) (0.145) also but lower relative impact. By utilizing model, overcomes linear models, allowing for exploration nonlinear relationships conditional dependencies. These findings provide actionable insights improving design, user engagement, adoption strategies.

Язык: Английский

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Empirical Analysis of Generative Ai Adoption in Software Development

Опубликована: Янв. 1, 2025

Язык: Английский

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Students' mindset to adopt AI chatbots for effectiveness of online learning in higher education

Future Business Journal, Год журнала: 2025, Номер 11(1)

Опубликована: Март 10, 2025

Abstract The rapid incorporation of Artificial Intelligence (AI) technologies into higher education is shifting the focus toward understanding students’ perspectives and factors affecting adoption AI chatbots to maximize their use in online virtual educational environments. This study fills an important gap literature by examining direct mediated relationships key constructs such as perceived usefulness, ease use, technical competency chatbot usage. aims investigate mindsets regarding adopting for effectiveness learning education. Data were collected from 429 university students analyzed using partial least squares-based structural equation modeling (PLS-SEM) technique. results revealed that usefulness (PU), (PEU), tech (TC) have a significant impact on capability. Subjective norm (SN) has no capability significantly influences effectiveness. findings indicated mediates effect PU, PEU, TC chatbots; however, there mediating relationship between SN Facilitating conditions moderate PU research addresses new insight within context education, particularly demonstrating moderating function tech-competent concepts.

Язык: Английский

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The journey of challenges and triumphs: a systematic literature review of the dynamic evolution of human-centered artificial intelligence in education

Interactive Learning Environments, Год журнала: 2025, Номер unknown, С. 1 - 26

Опубликована: Март 10, 2025

Язык: Английский

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